2D Gaussian Splatting for Geometrically Accurate Radiance Fields-Reference-Cited by-同舟云学术

2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Published:2024-07-13 Issue: Volume: Page:
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Container-title:Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24
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Author:

Huang Binbin¹^ORCID,Yu Zehao²^ORCID,Chen Anpei²^ORCID,Geiger Andreas²^ORCID,Gao Shenghua¹^ORCID

Affiliation:

1. ShanghaiTech University, China

2. University of Tübingen, Germany

Funder

NSFC

Program of Shanghai Academic Research Leader

Publisher

ACM

Reference72 articles.

1. Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky. 2020. Neural point-based graphics. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXII 16. Springer, 696–712.

2. Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. 2021. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. ICCV (2021).

3. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

4. Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2022b. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CVPR (2022).

5. Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2023. Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. ICCV (2023).

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